The Clinomic AI Lab is Clinomic’s core research department, focusing on Artificial Intelligence and IoT applications at the patient bedside.
In tandem with partner academic institutions, we not only expand our research but also our intellectual property portfolio, ensuring we solidify our position at the cutting edge of medical AI innovations. Each endeavor is rooted in our commitment to patient well-being, ethical responsibility, and competitive excellence. Through our collective efforts, we envision a future where ICU care is seamlessly enhanced by the precision of artificial intelligence.
Members of the AI Lab
Ahmed Hallawa
Head of Department
Dr. Jubin Shah
Research Product Manager
Roney Mathew
Machine Learning Engineer
Cagatay Sariman
Machine Learning Engineer
Hendrik Laux
Machine Learning Engineer, Visual Processing
Maike Gronholz
Medical Working Student
Dr. Arne Peine, MHBA
Medical Advisor
Priv.-Doz. Dr. Lukas Martin, MHBA
Scientific Advisor
Our research principles
Interdisciplinary Synergy
Fostering partnerships between AI specialists, medical experts, and academic researchers to drive innovative solutions in critical care.
Data focus
Employing rigorous, data-driven research approaches to ensure the highest standards of clinical relevance and accuracy.
Responsibility
We approach data by the highest standards of patient privacy, trust, and transparency, reflecting our unwavering dedication to responsible advancements.
“In the intricate synergy of data and clinical decisions within the ICU, we harness technology not merely as a tool, but as an ally. Each innovation we champion is a testament to our commitment to better outcomes and brighter tomorrows.”
Ahmed Hallawa
Head of the Clinomic AI Lab
Publications and Conferences
Nature Partner Journal Digital Medicine
Development and Validation of a Reinforcement Learning Algorithm to Dynamically Optimize Mechanical Ventilation in Critical Care
Nature Scientific Reports
Two-Stage Visual Speech Recognition for Intensive Care Patients
Emerging Microbes and Infections
Perception of the 2020 SARS-CoV-2 Pandemic among Medical Professionals in Germany
JMIR Medical Informatics
Telemedicine in Germany during the COVID-19 Pandemic: Multi-Professional National Survey.Only 135 characters allowed.
EvoStar
On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets.” In Applications of Evolutionary Computatio
Pneumologie
Perception of the COVID-19 Pandemic among Pneumology Professionals in Germany
JMIR Medical Informatics
Standardized comparison of voice-based information and documentation systems to established systems in Intensive Care: A Cross-Sectional study.
JMIR Medical Informatics
Predicting abnormalities in laboratory values for patients in the intensive care unit using deep artificial neural networks
European Urology Focus
Impact of the COVID-19 Pandemic on Urologists in Germany
Anästhesiologie & Intensivmedizin
Artificial Intelligence and Machine Learning in Intensive Care Research and Clinical Application.
International Journal of Computational Intelligence Systems
A Novel Hybrid Methodology for Anomaly Detection in Time Series. International Journal of Computational Intelligence Systems
AINS
Artificial Intelligence: Challenges and Applications in Intensive Care
Der Anaesthesist
Was Ist Neu… Einsatz von Künstlicher Intelligenz in der Intensivmedizin.
JMIR Medical Informatics
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study
MECO
A Machine Learning Approach for the Classification of Disease Risks in Time Series
MIPRO
A Novel NLP-Fuzzy System Prototype for Information Extraction from Medical Guidelines.
IEEE SAMI
Incremental Parameter Estimation of Stochastic State-Based Models.
Big Data Analytics for Cyber-Physical Systems
Machine Learning in Future Intensive Care—Classification of Stochastic Petri Nets via Continuous-Time Markov Chains
GECCO
Evo-RL: Evolutionary-Driven Reinforcement Learning
GECCO
Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents
News from the Clinomic AI Lab
We thank the supporters of our research work
Join the mission
Join the Clinomic AI Lab
Want to make a real impact on patients’ lives? We are hiring brilliant minds from all scientific backgrounds. Send us your CV and we will contact you as soon as possible. If you have any questions, write us an email to careers@clinomic.ai
